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What drives online impulse buying among Zoomers on TikTok in an emerging market? A new model based on flow theory

Bibliographic Data

ID22092548
AuthorsDaniel-Rareș Obadă (0000-0001-5699-6538, Alexandru Ioan Cuza University, corresponding author), Oana Ţugulea (0000-0003-3325-814X, Alexandru Ioan Cuza University)
Year2024
Volume9
Publication date2024-09-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Communication (JOURNAL)
Journal identifiersISSN: 2297-900X • E-ISSN: 2297-900X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fcomm.2024.1470327
OpenAlexW4402463736
LanguageEN
Citations received2
References cited93

Our article aims to investigate the factors, precisely motives for TikTok use, perceived ad intrusiveness, attitude toward advertising, ad credibility, ad value, and online flow experience, driving buying impulsiveness among Generation Z users on TikTok. We developed and analyzed a theoretical model using SmartPLS. We used a quantitative-based approach to collect data by surveying a convenience sample of 2406 online questionnaires. The results indicate that motives for TikTok use negatively affect perceived ad intrusiveness while positively affecting the online flow experience and ad credibility. Attitude towards advertising negatively impacts perceived ad intrusiveness, while attitude towards advertising positively influences ad credibility and value. Furthermore, ad credibility has a positive impact on ad value, which, in turn, positively influences online impulse buying. As such, adapted ad content leads to a positive attitude toward advertising, creating an optimal experience on the platform and a positive perception of ads regarding credibility and value

Business · Classical mechanics · Mechanics · Physics · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Technology Adoption and User Behaviour

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  • Statistical Power Analysis for the Behavioral Sciences

    Jacob Cohen•Statistical Power Analysis for…•2013

  • Optimal experience of flow enhanced by telepresence

    Open Access•Jean-Éric Pelet, Saïd Aboubaker Ettis et al.•Information & Management•2017

  • Measuring the Intrusiveness of Advertisements

    Hairong Li, Steven M Edwards et al.•Journal of Advertising•2002

  • The addiction behavior of short-form video app TikTok

    Open Access•Yao Qin, Bahiyah Omar et al.•Frontiers in Psychology•2022

  • How Consumers Assess the Value of Advertising

    Robert H Ducoffe•Journal of Current Issues &…•1995

  • Goodness-of-fit indices for partial least squares path modeling

    Open Access•Jörg Henseler, Marko Sarstedt•Computational Statistics•2013

  • The influence of perceived ad relevance on social media advertising

    Open Access•A-Reum Jung, A‐Reum Jung•Computers in Human Behavior•2017

  • Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues

    Open Access•Ing‐Long Wu, Ing-Long Wu et al.•International Journal of…•2020

  • The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China

    Open Access•Ya Ping Chang, Dong Zhu et al.•Computers in Human Behavior•2012

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Open Access•Jörg Henseler, Christian M Ringle et al.•Journal of the Academy of…•2015

  • Intrinsic Motivation and Self-Determination in Human Behavior

    Open Access•Edward L Deci, Richard M Ryan•Intrinsic Motivation and…•1985

  • Communication Mechanism and Optimization Strategies of Short Fitness-Based Videos on TikTok During Covid-19 Epidemic Period in China

    Open Access•Jinlong Shi, Gang Li et al.•Frontiers in Communication•2022

  • Corporate policies to protect against disinformation for young audiences

    Open Access•Natalia Quintas-Froufe, Ana González-Neira et al.•Frontiers in Communication•2024

  • WeChat online visual language among Chinese Gen Z

    Open Access•Ruoxi Liu•Frontiers in Communication•2023

  • From screens to carts

    Open Access•Khalid Ali Alshohaib•Frontiers in Communication•2024

  • Thematic analysis in social media influencers

    Open Access•Charles Alves de Castro•Frontiers in Communication•2023

  • Instagram and TikTok Flow States and Their Association with Psychological Well-Being

    Open Access•James A Roberts, Przemek Shem Radzikowski et al.•Cyberpsychology Behavior and…•2023

  • Explaining the success of social media with gratification niches

    Open Access•Sebastian Scherr, Kexin Wang•Computers in Human Behavior•2021

  • From fear of missing out (FoMO) to addictive social media use

    Open Access•Julia Brailovskaia, Jürgen Margraf•Computers in Human Behavior•2024

  • Smartphone use, flow and wellbeing

    Open Access•Raymond Lavoie, Yilong Zheng•Computers in Human Behavior•2023

  • Online antecedents for young consumers’ impulse buying behavior

    Open Access•Jussi Nyrhinen, Anu Sirola et al.•Computers in Human Behavior•2024

  • Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach

    Open Access•Anshuman Sharma, Yogesh K Dwivedi et al.•Computers in Human Behavior•2021

  • How brand-stakeholder dialogue drives brand-hosted community engagement on social media

    Open Access•Xinyan Zhao, Yi-Ru Regina Chen•Computers in Human Behavior•2022

  • Online targeted ads

    Open Access•Rachel Esther Lim, Yoon Hi Sung et al.•Telematics and Informatics•2023

  • Advertising in streaming video

    Open Access•João Lucas Hana Frade, Jorge Henrique Caldeira De Oliveira et al.•Telecommunications Policy•2021

  • Addiction to social networking sites

    Open Access•Sandra Miranda, Inês Trigo et al.•Technological Forecasting and…•2023

  • Let the beat flow

    Open Access•Jeroen S Lemmens, Constantin Freiherr von Münchhausen•Acta Psychologica•2023

  • Social media engagement

    Open Access•M Laeeq Khan•Computers in Human Behavior•2016

  • Watch, Share or Create

    Open Access•Bahiyah Omar, Dequan Wang et al.•International Journal of…•2020

  • The impact of social media influencers on travel decisions

    Rebeka-Anna Pop, Zsuzsa Săplăcan et al.•Current Issues in Tourism•2021

  • In Flow”! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media

    Open Access•Daniel-Rareș Obadă, Dan-Cristian Dabija•International Journal of…•2022

  • Epistemic vigilance and persuasion

    Open Access•Marisa Diez-Arroyo•Journal of Pragmatics•2023

  • Distinguishing the affective and cognitive bases of implicit attitudes to improve prediction of food choices

    Open Access•Olivier Trendel, Carolina O C Werle et al.•Appetite•2016

  • Investigating consumer purchase intention in online social media marketing

    Open Access•Wenyao Zhang, Tugrul U Daim•Technology in Society•2023

  • Beyond belief

    Open Access•Zhiying Ren, Eugen Dimant et al.•Journal of Experimental Social…•2022

  • A theory of human motivation

    Abraham H Maslow•Psychological Review•1943

  • Optimal experience in work and leisure

    Mihaly Csikszentmihalyi, Judith Lefevre•Journal of Personality and Social…•1989

  • Principles and Practice of Structural Equation Modeling

    Open Access•Nassim Tabri, Craig M Elliott•Canadian Graduate Journal of…•2012

  • Normative Influences on Impulsive Buying Behavior

    Dennis W Rook, Robert J Fisher•Journal of Consumer Research•1995

Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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